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Streamlit

Deepdive AI is a research assistant and makes pdfs and powerpoint presentation for a given topic.

https://hydrolink-iota.vercel.app/

KakeiboAI is an AI-powered personal finance companion inspired by the Japanese Kakeibo methodology. It tracks expenses, build mindful spending habits, and helps to achieve savings goals through reflection and insights. It also analyses your spending patterns and provides suggestion on how to improve them.

F2P Solver extracts mathematical formulas from PDF research papers and converts them into interactive Python simulations — entirely offline, on CPU. Upload a paper, and for every formula you get a callable Python function plus a live chart with sliders for each variable: drag a slider and the curve updates instantly, with no further AI calls. Built with Streamlit, pymupdf, ollama (Qwen2.5-7B), numpy, and Plotly. Runs on any Linux/macOS machine with a single command: ./run.sh.

LocalVital turns your messy health diary into a structured, private, queryable dataset — entirely on your device, no internet required.

Chalo Miya! is an AI-powered Hyderabad travel companion that helps users discover places, build personalized itineraries, and explore the city's rich culture with intelligent recommendations.

AI-powered receipt management system that extracts, organizes, and securely stores receipt information using OCR and LLM technologies.

AI-powered PDF RAG Chatbot built with Streamlit, LangChain, FAISS, and Google Gemini for intelligent document question answering.

Offline-first Streamlit assistant for crop disease support, fertilizer guidance, OCR bill reading, and local farm history.

Local AI: Offline Meeting Intelligence System is a CPU-optimized, offline-first application that transforms unstructured meeting audio recordings into structured and actionable data. Using Faster-Whisper for local speech transcription and Qwen2.5 GGUF via llama.cpp for information extraction, the system converts audio files into structured JSON containing meeting summaries, topics, action items, and next steps. All processing is performed entirely on the user's device without internet access or GPU acceleration, with results stored locally using SQLite and displayed through an interactive Streamlit dashboard.

LocalVital turns your messy health diary into a structured, private, queryable dataset — entirely on your device, no internet required.

StudentAI - AI-powered RAG chatbot for document analysis and question answering using FastAPI, React, Ollama and Retrieval-Augmented Generation (RAG).

VidhyaVerse AI is an AI-powered experiential learning platform that makes education interactive, personalized, and multilingual. It helps students learn through AI tutors, virtual experiments, image-based doubt solving, quizzes, and voice-based interactions, bridging the gap between theoretical knowledge and practical understanding.

AI-powered FIFA World Cup 2026 match predictor with historical data, squad comparison, head-to-head analysis, and multi-language support

QR Code Generator System is a Streamlit-based web application that allows users to generate QR codes instantly from text, URLs, contact details, Wi-Fi credentials, addresses, and payment information. It provides a fast, accurate, and user-friendly way to share information through QR code scanning.

EndGame RAGHub is a scalable multimodal Retrieval-Augmented Generation platform supporting document, image, audio, and video understanding using FastAPI, Qdrant, LangGraph, and modern open-source AI infrastructure.

AI Idea Validator is an AI-powered startup intelligence platform that helps entrepreneurs, students, and innovators evaluate business ideas before investing time and resources into development. The system analyzes ideas based on market demand, feasibility, uniqueness, scalability, and potential risks, then generates a structured validation report with scores, insights, and actionable improvement suggestions. Built with Python, Streamlit, and AI-driven evaluation logic, the platform enables users to make data-informed decisions and refine ideas at an early stage.

RAG Chatbot using LangChain, FAISS, Gemini and local LLM support.

The compliance checker is failing the Metadata → Description check. Could you please add a project description in GitLab project settings?

Suggested description:

"Economic Intelligence Platform for collecting, analyzing, and visualizing Indian economic news using Streamlit, AI-assisted analysis, and RAG-based search."

Local-First Document Q&A with RAG using Ollama — Find-Retrieve-Answer pattern